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An Adobe Commerce developer has been tasked with applying a pricing adjustment to products on the website. The adjustments come from a database table. In this case, catalog price rules do not work. They created a plugin for getPrice on the price model, but the layered navigation is still displaying the old price.
How can this be resolved?
The developer can resolve this issue by creating a plugin for the Magento\Catalog\Model\Indexer\Product\Price::executeRow() method. This method is responsible for updating the product price index.
The plugin can be used to add the pricing adjustment from the database to the product price index. Once the product price index is updated, the layered navigation will display the correct price.
Here is an example of a plugin for the executeRow() method:
PHP
class MyPlugin
{
public function executeRow(
\Magento\Catalog\Model\Indexer\Product\Price $subject,
\Magento\Catalog\Model\Product $product,
array $data
) {
$adjustment = $this->getAdjustment($product);
$product->setPrice($product->getPrice() + $adjustment);
}
private function getAdjustment(Product $product)
{
$adjustment = $product->getData('adjustment');
if (!is_numeric($adjustment)) {
return 0;
}
return $adjustment;
}
}
This plugin will add the adjustment data from the product to the product price index. Once the product price index is updated, the layered navigation will display the correct price.
An Adobe Commerce developer is creating a new module to extend the functionality of the cart. The module is installed in app/code/CompanyName/ModuleName/.
How would an Adobe Commerce developer extend the existing CartltemPrices GraphQL schema to include a custom base_price field?
The developer can extend the existing CartltemPrices GraphQL schema to include a custom base_price field by adding the following code to the module's etc/schema.graphqls file:
extend type CartltemPrices { base_price: Money! @doc(description: ''The base price of the cart item'') }
This code adds a new field called base_price to the CartltemPrices type and specifies that it is of type Money and it is not nullable. The @doc directive adds a description for the field that will be shown in the schema documentation. The developer also needs to create a custom resolver class for the base_price field and declare it in the di.xml file of the module. Verified Reference: [Magento 2.4 DevDocs] [Magento Stack Exchange]
What is the command used to upgrade ECE-Tools on an Adobe Commerce Cloud platform?
The command used to upgrade ECE-Tools on an Adobe Commerce Cloud platform is composer update magento/ece-tools --with-all-dependencies. This command will update the ECE-Tools package and its dependencies to the latest version available in the composer repository. The developer then needs to commit and push the changes to the composer.json and composer.lock files and redeploy the environment. Verified Reference: [Magento 2.4 DevDocs]
An Adobe Commerce developer is developing a custom module. As part of their implementation they have decided that all instances of their Custom\Module\Model\Example class should receive a new instance of Magento\Filesystem\Adapter\Local.
How would the developer achieve this using di. xml?
A)
B)
C)
The developer can achieve this by adding the following configuration to their di.xml file:
XML
<config>
<component name='Custom\Module\Model\Example' factory='Custom\Module\Model\ExampleFactory'>
</component>
</config>
This configuration will ensure that all instances of the Custom\Module\Model\Example class will receive a new instance of the Magento\Filesystem\Adapter\Local class.
When researching some issues with the indexer, an Adobe Commerce developer is seeing errors in the logs similar to Memory size allocated for the temporary table is more than 20% of innodb_buffer_pool_size. It is suggested that the client update innodb_buf f er_pool_size or decrease the batch size value.
Why does decreasing the batch size value improve performance?
Decreasing the batch size value improves performance by reducing the memory usage for the temporary table. The batch size value determines how many rows of data are processed at a time by the indexer. A large batch size value can cause the allocated memory size for the temporary table to exceed 20% of innodb_buffer_pool_size, which can result in errors and slow down the indexing process. By lowering the batch size value, the indexer can process the data more efficiently and avoid memory issues. Verified Reference: [Magento 2.4 DevDocs] [Magento Stack Exchange]
